Recent Collaborators


ASU/CSE Awards

Top 5% Faculty Award, Fulton Schools of Engineering, 2014
Top 5% Faculty Award, Fulton Schools of Engineering, 2012

Best Teacher Award, Fulton Schools of Engineering, 2013
Best Teacher Award, Fulton Schools of Engineering, 2013

Top 5% Faculty Award, Fulton Schools of Engineering, 2012
Top 5% Faculty Award, Fulton Schools of Engineering, 2012

Distinguished Service'09
Distinguished Service in Computer Science and Engineering Award, 2009

Researcher of the Year'08
Researcher of the Year Award,2008

Service Faculty'07
Service Faculty of the Year Award, 2007

MAISON: Middleware for Accessible Information Spaces on NSDL

We are building middleware systems to help users (students, teachers, scientists) accessing complex, educational and scientific digital libraries and databases. These efforts include our NSF DUE “Middleware for Accessible Information Spaces on NSDL” project (MAISON; PI: Candan, co-PI’s: Davulcu, Hedgpeth, Li, Sundaram; 0735014, 1/1/08–12/1/10).

The principal motivation for MAISON is to improve participation to NSDL by teachers, librarians, and learners who are blind. MAISON enhances the accessibility of the NSDL, its internal and external resources by individuals who are blind and supports easy interaction by keeping the intrinsic presentation overload to a minimum. It provides adaptation and annotation services through open service APIs and, thus, supports implementation of web-based navigation tools and interfaces that prevent user disorientation within NSDL’s knowledge networks. MAISON builds on NSDL’s existing Strand map service (SMS), which can be accessed through a Concept Space Interchange Protocol (CSIP) service API that lets developers search and find digital library resources. Each CSIP request returns one or more relevant Strand map nodes and their connections.

In addition to providing keyword search options as in CSIP, the CSIP-Adapative (CSIP-A) protocol provided by our MAISON middleware allows users to specify adaptation strategies for the resulting Strand maps. A CSIP-A service request is constructed by including both keyword query and accessibility adaptations in one service request. The adaptation options provided by the search interface and supported by the underlying CSIP-A protocol include (a) grade/strand focus, which tells the MAISON middleware whether the adaptation should be grade- or strand- centric; (b) context keywords, which affect benchmark clustering, concept extraction and propagation, and textual summary generation; (c) clustering option which reduces the complexity (number of benchmarks) of the Strand map, and (d) link preview, which are benchmark annotations for helping the user who is blind to decide whether to follow a link. There are three options for link preview: (a) content of the next node option provides the content of the next node; (b) key upcoming concepts option identifies and annotates each edge on the resulting strand map with concepts that are dominant in upcoming benchmarks; and (c) summary of the upcoming nodes option extracts a textual summary of the upcoming benchmarks.

MAISON user interface: http://maison.asu.edu
MAISON project web site: http://maison.asu.edu/maison.html
NSF project site: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0735014

Related past projects
DES/RSA Award, Ubiquitous Environment to Facilitate Access to Textbooks and Related Materials for Adults and School Age children who are Blind or Visually Impaired, 2006-2010;
NSF ITR Medium Award, iLearn: IT-enabled Ubiquitous Access to Educational Opportunities for Blind Individuals, 2003-2008

Short bio


K. Selcuk Candan is a Professor of Computer Science and Engineering at the School of Computing, Informatics, and Decision Science Engineering at the Arizona State University and is leading the EmitLab research group. He joined the department in August 1997, after receiving his Ph.D. from the Computer Science Department at the University of Maryland at College Park.


Prof. Candan's primary research interest is in the area of management of non-traditional, heterogeneous, and imprecise (such as multimedia, web, and scientific) data.  His various research projects in this domain are funded by diverse sources, including the National Science Foundation, Department of Defense, Mellon Foundation, and DES/RSA (Rehabilitation Services Administration). He has published over 140 articles and many book chapters. He has also authored 9 patents. Recently, he co-authored a book titled "Data Management for Multimedia Retrieval" for the Cambridge University Press and co-edited "New Frontiers in Information and Software as Services: Service and Application Design Challenges in the Cloud" for Springer.


Prof. Candan served an editorial board member of one of the most respected database journals, the Very Large Databases (VLDB) journal. He is currently an associate editor for the IEEE Transactions on Multimedia and the Journal of Multimedia. He has served in the organization and program committees of various conferences. In 2006, he served as an organization committee member for SIGMOD'06, the flagship database conference of the ACM and one of the best conferences in the area of management of data. In 2008, he served as a PC Chair for another leading, flagship conference of the ACM, this time focusing on multimedia research (MM'08). More recently, he served as a program committee group leader for ACM SIGMOD’10. He also served in the review board of the Proceedings of the VLDB Endowment (PVLDB). In 2011, he served in the Executive Committee of ACM SIGMM.


In 2010, he was a program co-chair for ACM CIVR'10 conference and a program group leader for ACM SIGMOD'10. In 2011, he is serving as a general co-chair for the ACM MM'11 conference. In 2012, he served as a general co-chair for ACM SIGMOD'12. In 2015, he will serve as a general co-chair for IEEE International Conference on Cloud Engineering (IC2E'15).


He is a member of the Executive Committee of ACM SIGMOD and an ACM Distinguished Scientist.


For his curriculum vitae, please click here.